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CostPerPrompt

Qwen3.8 Flash API Pricing

Alibaba (Qwen) · context window 1M · prices updated 2026-09-29

Input per 1M tokens
$0.15
Output per 1M tokens
$0.47
Cached input per 1M
$0.016
89% cheaper than fresh input

Where Qwen3.8 Flash sits on price

At $0.47 per million output tokens, Qwen3.8 Flash is a budget tier model — 4.7× cheaper than the median output price of $2.20, which puts it cheaper than 80% and pricier than 20% of the models we track. It sits 15th cheapest of the 53 Alibaba (Qwen) models we track. Output costs 3.1× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
2,127,660
One full context fill
$0.15
Cheaper than
80% of tracked models

Cached input is 89% cheaper. On an input-heavy workload you need roughly a 28% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.

What real workloads cost on Qwen3.8 Flash

These three workloads are the ones teams actually run on a budget-priced model — a $0.47/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
High-volume classification — 200K requests/day (400 in / 20 out) Short output, huge volume: the input price dominates the bill. $0.0001 $416
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0001 $4.36
Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. $0.0394 $236

Model your exact traffic in the API cost calculator — it preloads Qwen3.8 Flash with caching and batch options.

Qwen3.8 Flash price history

Qwen3.8 Flash's price has not moved since we began tracking it on Aug 28, 2026 — 32 days of stability in a market where 88 of the 353 models we track have repriced over the same period, including 16 of Alibaba (Qwen)'s own 53 models.

Change-points from our daily price snapshots (tracking since Aug 28, 2026; intraday moves between snapshots are not captured).

Qwen3.8 Flash vs Gemma 3 27B

The closest-priced alternative from another vendor is Gemma 3 27B (Google) — 4% cheaper on output, with $0.07 less per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Gemma 3 27B pricing →

Cheaper alternatives

More Alibaba (Qwen) models

Frequently asked questions

› How much does the Qwen3.8 Flash API cost?

Qwen3.8 Flash costs $0.15 per million input tokens and $0.47 per million output tokens, with cached input at $0.016 per million (89% cheaper). That works out to roughly 2,127,660 output tokens per dollar.

› What does the high-volume classification workload cost on Qwen3.8 Flash?

High-volume classification — 200K requests/day (400 in / 20 out) costs about $0.0001 per request and $416 per month on Qwen3.8 Flash. Short output, huge volume: the input price dominates the bill.

› What does it cost to fill Qwen3.8 Flash's 1M context window?

Sending 1M of input in a single request costs $0.15 at $0.15 per million tokens — before any output. With prompt caching that same fill drops to about $0.016 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

› Is Qwen3.8 Flash worth the price?

Qwen3.8 Flash is in the cheapest end of the market — cheaper than 80% of the models we track. At this price the question is not cost but capability: it is a good fit for classification, extraction, routing and bulk summarisation, and a poor fit for multi-step reasoning where a wrong answer costs more than the tokens saved.